Lecture Notes
- Lecture 1: Introduction (intro,lecture1)
- Lecture 2: Search Strategies - Uninformed Search
- Lecture 3: Search Strategies - Informed Search
- Lecture 4: Constraint Satisfaction Problem
- Lecture 5: Machine Learning - Decision Trees
- Lecture 6: Machine Learning - Bayesian
- Lecture 7: Machine Learning - Rule-based
- Lecture 8: Machine Learning - Nearest Neighbors
- Lecture 9: Knowledge Representation - DAML
- Lecture 10: Machine Learning - Web Ontology
- Lecture 11: Machine Learning - RDF
Note: resources for machine learning (including a set of sample training data used in the lecture notes) can be found at datasets-in-lectures.zip